Evaluation of in-situ relationships between variable soil moisture and soil strength using a plot-scale experimental design

Sion, Brad; Shoop, Sally A.; McDonald, Eric V.

doi:10.1016/j.jterra.2022.07.002

Cited by 7 publications

(10 citation statements)

References 15 publications

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“…The second variable, the hammer blow factor (h), adjusts the distance covered between the two points. A value of 1 and 2 is assigned to the heavy and lighter assembly, respectively [5].…”

Section: Dcp Methods and Apparatusmentioning

confidence: 99%

“…As soil moisture increases, the soil begins to expand due to swelling. With further water addition, the pore pressure in the soil decreases, resulting in a reduction in cohesive strength and a subsequent apparent reduction in cohesive strength [5].…”

Section: Effect Of Water In Dcp Testmentioning

confidence: 99%

“…In a soil trafficability study, Sion [5] concluded that increased soil moisture levels reduce soil strength properties such as compressive strength, shear strength, and CBR. The effects of saturation on these properties were systematic.…”

Section: Effect Of Water In Dcp Testmentioning

confidence: 99%

“…These gaps emphasize the importance of longterm monitoring, understanding the impact of environmental factors (such as rainfall during curing periods), and considering the evolution of treatments over time. Research focusing on seasonal moisture changes, durability, and the effects of combined treatments versus single treatments is necessary [5,9,12,30,63,64].…”

Section: Long-term and Environmental Considerationsmentioning

confidence: 99%

“…Correlating the DCPI with geotechnical parameters provides rapid, cost-effective, and reliable results compared to other soil exploration methods. Crucial for engineering, geotechnical, and agricultural purposes, this test informs the design of structures like buildings, bridges, roads, and other infrastructure [4][5].…”

Section: Introductionmentioning

confidence: 99%

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The Role of Dynamic Cone Penetrometer Testing in Assessing Pavement Subgrade Strength: A Literature Review

Garcia

2024

GEOMATE

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In-situ tests for predicting geotechnical parameters related to shear strength, such as California Bearing Ratio (CBR), typically require drilling boreholes and manual cone driving, which can be timeconsuming, expensive, and labor-intensive. The Dynamic Cone Penetrometer Test (DCPT) has emerged as a simpler, faster, and less expensive alternative for predicting CBR and other geotechnical parameters. This systematic review uses Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to examine relevant literature on DCP testing for accurately predicting CBR and other geotechnical parameters. After trimming 111 relevant studies to 55, the review discusses various research questions, including the correlation between DCP and CBR, factors such as water content and seasonal variations, and recent advances in DCP testing. The review emphasizes the importance of considering unsaturated soil behavior, such as soil suction, in pavement subgrade design to ensure the longevity and quality of the pavement. The findings provide compelling evidence for the utilization of DCP testing as an essential tool for predicting geotechnical parameters and designing high-performance pavements. By demonstrating the DCPT's remarkable convenience, reliability, and cost-effectiveness in CBR and geotechnical parameter prediction, this study paves the way for significant advancements in pavement design efficiency and economic viability.

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“…The second variable, the hammer blow factor (h), adjusts the distance covered between the two points. A value of 1 and 2 is assigned to the heavy and lighter assembly, respectively [5].…”

Section: Dcp Methods and Apparatusmentioning

confidence: 99%

Section: Effect Of Water In Dcp Testmentioning

confidence: 99%

Section: Effect Of Water In Dcp Testmentioning

confidence: 99%

Section: Long-term and Environmental Considerationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Role of Dynamic Cone Penetrometer Testing in Assessing Pavement Subgrade Strength: A Literature Review

Garcia

2024

GEOMATE

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Preliminary analysis of the mechanism in the July 16, 2022 Gaojiashan cascading hazard: a landslide-induced debris flow in Southwest China

Peng,

Chen,

Mergili

et al. 2024

Bull Eng Geol Environ

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Enhancing a machine learning model for predicting agricultural drought through feature selection techniques

Nikdad,

Mohammadi Ghaleni,

Moghaddasi

et al. 2024

Appl Water Sci

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This study aims to determine the crucial variables for predicting agricultural drought in various climates of Iran by employing feature selection methods. To achieve this, two databases were used, one consisting of ground-based measurements and the other containing six reanalysis products for temperature (T), root zone soil moisture (SM), potential evapotranspiration (PET), and precipitation (P) variables during the 1987–2019 period. The accuracy of the global database data was assessed using statistical criteria in both single- and multi-product approaches for the aforementioned four variables. In addition, five different feature selection methods were employed to select the best single condition indices (SCIs) as input for the support vector regression (SVR) model. The superior multi-products based on time series (SMT) showed increased accuracy for P, T, PET, and SM variables, with an average 47%, 41%, 42%, and 52% reduction in mean absolute error compared to SSP. In hyperarid climate regions, PET condition index was found to have high relative importance with 40% and 36% contributions to SPEI-3 and SPEI-6, respectively. This suggests that PET plays a key role in agricultural drought in hyperarid regions because of very low precipitation. Additionally, the accuracy results of different feature selection methods show that ReliefF outperformed other feature selection methods in agricultural drought modeling. The characteristics of agricultural drought indicate the occurrence of drought in 2017 and 2018 in various climates in Iran, particularly arid and semi-arid climates, with five instances and an average duration of 12 months of drought in humid climates.

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Evaluation of in-situ relationships between variable soil moisture and soil strength using a plot-scale experimental design

Cited by 7 publications

References 15 publications

The Role of Dynamic Cone Penetrometer Testing in Assessing Pavement Subgrade Strength: A Literature Review

The Role of Dynamic Cone Penetrometer Testing in Assessing Pavement Subgrade Strength: A Literature Review

Preliminary analysis of the mechanism in the July 16, 2022 Gaojiashan cascading hazard: a landslide-induced debris flow in Southwest China

Enhancing a machine learning model for predicting agricultural drought through feature selection techniques

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